@ajayka96
Started 3 weeks ago in
Not understood the explanation-(DILR SECTIONAL-12)
Screenshot 2024-10-03 143416.png 33.67 KBProbability of Success:Blockbuster: 100%Promising: 80%Doubtful: 50%No Hope: 20%Number of Products:Blockbuster: 12Promising: 15Doubtful: 20No Hope: 10Cost of Products:Alpha: ₹20Beta: ₹15Gamma: ₹10Questions-1.What could be the expected total revenue generated through sale of product Gamma after considering all parameters?2.Which product generated the maximum revenue, if success rates are to be rounded off (i.e. anything above 0.5 to be taken as 1)? Alpha Beta Gamma Data insufficient3.What was the ratio between No hope Alpha product and Blockbuster Gamma product? 3:2 1:2 4:5 6:54.What is the success rate for Product beta?
@ajayka96
Started 3 weeks ago in
I'm not able to solve this Question
IT office had car parking for its employees the security guard notes the in time and out time of the vehicles, on a particular day 6 cars Swift, Audi, Creta, Alto, XUV and Tiago had come to the parking lot at different time. Its known that these cars entered the lot at different time among 9:30 am , 10:30 am , 11:30 am, 12:30 am , 1:30 pm and 2:30 pm these cars were there in the lot for at least one hour and these cars also left the lot at different time among 1:30 pm , 2:30 pm , 3:30 pm , 4:30 pm, 5:30 pm and 6:30 pm1. Tiago was already in the lot when Creta came in but was not present when XUV was leaving.2. Swift came in exactly an hour after the Creta came in, but left before the Tiago left, while Alto was in the parking lot for three more hours than Tiago.3. Audi came in at least two hours after Alto came but was not the last car to come into the lot.4. For exactly 2 hrs during the day there were exactly three cars including Alto in the lot and for exactly 2 hrs during the day there were exactly 2 cars including XUV in the lot.5. Alto was not the last to leave the lot.